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Semantic ScholarIJCNN 2017: Anchorage, AK, USA
2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017. IEEE 2017, ISBN 978-1-5090-6182-2- Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and efficient parallelization for probabilistic temporal tensor factorization. 1-8 - Mahesh Mohan, Claire Monteleoni:
Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering. 9-16 - Aloisio Dourado, Rommel N. Carvalho, Gustavo C. G. van Erven:
Brazil's Bolsa Familia and young adult workers: A parallel RDD approach to large datasets. 17-24 - Zhichao Jin, Lili Guo, Daqi Gao:
Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. 25-30 - Anja Kristina Philippsen, René Felix Reinhart, Britta Wrede, Petra Wagner:
Hyperarticulation aids learning of new vowels in a developmental speech acquisition model. 39-45 - Ricardo de Azambuja, D. H. Garcia, Martin F. Stoelen, Angelo Cangelosi:
Neurorobotic simulations on the degradation of multiple column liquid state machines. 46-51 - Bhargav Teja Nallapu, Bapi Raju Surampudi, Nicolas P. Rougier:
The art of scaling up : A computational account on action selection in basal ganglia. 52-58 - Daniel Moreira Cestari, João Luís Garcia Rosa:
Stochastic and deterministic stationarity analysis of EEG data. 63-70 - Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough:
Enhanced detection of movement onset in EEG through deep oversampling. 71-78 - Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran:
Investigating the possibility of applying EEG lossy compression to EEG-based user authentication. 79-85 - Deyan Tang, Siwang Zhou, Wenjuan Yang, Yonghe Liu:
A two-phase representation based face recognition method with 'random-filtering' virtual samples. 101-107 - Olaoluwa Adigun, Bart Kosko:
Using noise to speed up video classification with recurrent backpropagation. 108-115 - Tayyar Rzayev, Saber Moradi, David H. Albonesi, Rajit Manohar:
DeepRecon: Dynamically reconfigurable architecture for accelerating deep neural networks. 116-124 - Çaglar Gülçehre, Jose Sotelo, Marcin Moczulski, Yoshua Bengio:
A robust adaptive stochastic gradient method for deep learning. 125-132 - Peiqi Wang, Zhenyu Liu, Haixia Wang, Dongsheng Wang:
Data-centric computation mode for convolution in deep neural networks. 133-139 - Ryotaro Kamimura:
Selective and cooperative potentiality maximization for improving interpretation and generalization. 147-153 - Youwei Lu, Shogo Okada, Katsumi Nitta:
Weibull partition models with applications to hidden semi-Markov models. 162-169 - Ajin George Joseph, Shalabh Bhatnagar:
A model based search method for prediction in model-free Markov decision process. 170-177 - Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan:
Deeply-supervised CNN for prostate segmentation. 178-184 - Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A weighted-resampling based transfer learning algorithm. 185-190 - Yang Li, Chengjun Li, Gang Liu, Wei Long:
Fitness with diversity information for selection of evolutionary algorithms. 191-197 - Alan William Dougherty, Jane You:
A kernel-based adaptive fuzzy c-means algorithm for M-FISH image segmentation. 198-205 - Daniel S. Levine, Kay-Yut Chen, Bakur AlQaudi:
Neural network modeling of business decision making. 206-213 - Raymond Noack, Chetan Manjesh, Miklós Ruszinkó, Hava T. Siegelmann, Robert Kozma:
Resting state neural networks and energy metabolism. 228-235 - Hugo A. Guillen-Ramirez, José D. Colbes, Carlos A. Brizuela, Israel M. Martínez-Pérez:
Accurate classification of immunomodulatory RNA sequences. 236-241 - Arthur Shi, Xiao-Hua Yu:
Structural damage assessment using artificial immune systems and wavelet decomposition. 242-247 - Edwin German Maldonado Tavara, Marley M. B. R. Vellasco, Bruno A. C. Horta, Fábio L. Custódio:
Feature importance calculation and protein quality assessment on the decoy discrimination problem. 248-255 - Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang:
Convex local sensitive low rank matrix approximation. 256-261 - Mohammad Maminur Islam, Mohammad Khan Al Farabi, Deepak Venugopal:
Adaptive blocked Gibbs sampling for inference in probabilistic graphical models. 262-269 - Giulio Bottegal, Johan A. K. Suykens:
Probabilistic matrix factorization from quantized measurements. 270-277 - Fani Tsapeli, Peter Tiño, Mirco Musolesi:
Probabilistic matching: Causal inference under measurement errors. 278-285 - Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin:
Bayesian optimization for conditional hyperparameter spaces. 286-293 - Alexander Matyasko, Lap-Pui Chau:
Margin maximization for robust classification using deep learning. 300-307 - Gaurav Pandey, Ambedkar Dukkipati:
Variational methods for conditional multimodal deep learning. 308-315 - Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita:
Deep graph node kernels: A convex approach. 316-323 - Noah Lewis, Sergey M. Plis, Vince D. Calhoun:
Cooperative learning: Decentralized data neural network. 324-331 - Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
On the characterization of the Oracle for dynamic classifier selection. 332-339 - Guangliang Chen, Wilson Florero-Salinas, Dan Li:
Simple, fast and accurate hyper-parameter tuning in Gaussian-kernel SVM. 348-355 - Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu:
An output-based knowledge transfer approach and its application in bladder cancer prediction. 356-363 - Qinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy:
Relational autoencoder for feature extraction. 364-371 - Dewei Li, Dongkuan Xu, Jingjing Tang, Yingjie Tian:
Metric learning for multi-instance classification with collapsed bags. 372-379 - Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu:
First-order causal process for causal modelling with instantaneous and cross-temporal relations. 380-387 - Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long:
Universal network representation for heterogeneous information networks. 388-395 - Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Enrique Domínguez, Rafael Marcos Luque Baena, Miguel A. Molina-Cabello:
Panoramic background modeling for PTZ cameras with competitive learning neural networks. 396-403 - Miguel A. Molina-Cabello, Ezequiel López-Rubio, Rafael Marcos Luque Baena, Enrique Domínguez, Karl Thurnhofer-Hemsi:
Neural controller for PTZ cameras based on nonpanoramic foreground detection. 404-411 - Francisco Gomez-Donoso, Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla:
LonchaNet: A sliced-based CNN architecture for real-time 3D object recognition. 412-418 - Xiao-Hu Zhou, Gui-Bin Bian, Xiaoliang Xie, Zeng-Guang Hou, Jian-Long Hao:
Prediction of natural guidewire rotation using an sEMG-based NARX neural network. 419-424 - Sergiu Oprea, Alberto Garcia-Garcia, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla:
A recurrent neural network based Schaeffer gesture recognition system. 425-431 - Daesik Kim, Myunggi Lee, Nojun Kwak:
Matching video net: Memory-based embedding for video action recognition. 432-438 - Matthias Kerzel, Moaaz Ali, Hwei Geok Ng, Stefan Wermter:
Haptic material classification with a multi-channel neural network. 439-446 - Jayanta K. Dutta, Bonny Banerjee:
Variation in classification accuracy with number of glimpses. 447-453 - Anthony D. Rhodes, Max H. Quinn, Melanie Mitchell:
Fast on-line kernel density estimation for active object localization. 454-462 - Allah Bux Sargano, Xiaofeng Wang, Plamen Angelov, Zulfiqar Habib:
Human action recognition using transfer learning with deep representations. 463-469 - Yang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha:
Factorization for projective and metric reconstruction via truncated nuclear norm. 470-477 - Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang:
Robust nonnegative matrix factorization with ordered structure constraints. 478-485 - Shudong Huang, Zenglin Xu, Fei Wang:
Nonnegative matrix factorization with adaptive neighbors. 486-493 - Xiaokai Wei, Bokai Cao, Philip S. Yu:
Multi-view unsupervised feature selection by cross-diffused matrix alignment. 494-501 - Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne:
Deep reward shaping from demonstrations. 510-517 - Navid Kardan, Kenneth O. Stanley:
Mitigating fooling with competitive overcomplete output layer neural networks. 518-525 - Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Jonathan A. Cox, Craig M. Vineyard, Kristofor D. Carlson, William M. Severa, Conrad D. James, James B. Aimone:
Neurogenesis deep learning: Extending deep networks to accommodate new classes. 526-533 - Plamen P. Angelov, Xiaowei Gu, José C. Príncipe:
Fast feedforward non-parametric deep learning network with automatic feature extraction. 534-541 - Steven Gutstein, Ethan Stump:
The effects of output codes on transfer learning in a deep convolutional neural net. 542-548 - Xiaofeng Ma, Tomojit Ghosh, Michael Kirby:
A sequential simplex algorithm for automatic data and center selecting radial basis functions. 549-556 - Fredrik Sandin, Sergio Martin del Campo:
Dictionary learning with equiprobable matching pursuit. 557-564 - Jacek Mandziuk, Adam Zychowski, Lipo Wang:
A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP. 565-572 - Eunelson Jose da Silva Junior, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin, Alessandro L. Koerich:
A two-step cascade classification method. 573-580 - Iuri Bonna M. de Abreu, Rafael Gomes Mantovani, Ricardo Cerri:
Incorporating instance correlations in multi-label classification via label-space. 581-588 - Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou:
Social recommendation using Euclidean embedding. 589-595 - Dongjing Wang, Guandong Xu, ShuiGuang Deng:
Music recommendation via heterogeneous information graph embedding. 596-603 - Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros:
Leveraging deep visual features for content-based movie recommender systems. 604-611 - Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen:
Graph-boosted convolutional neural networks for semantic segmentation. 612-618 - Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu:
Link prediction by exploiting network formation games in exchangeable graphs. 619-626 - Nikhil Churamani, Matthias Kerzel, Erik Strahl, Pablo V. A. Barros, Stefan Wermter:
Teaching emotion expressions to a human companion robot using deep neural architectures. 627-234 - Tiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar:
A self-driving robot using deep convolutional neural networks on neuromorphic hardware. 635-641 - Randall Reams, Yoonsuck Choe:
Emergence of tool construction in an articulated limb controlled by evolved neural circuits. 642-649 - Petr Cizek, Pavel Milicka, Jan Faigl:
Neural based obstacle avoidance with CPG controlled hexapod walking robot. 650-656 - Minkyu Choi, Jun Tani:
Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model. 657-664 - Raymond Pavloski, Charles Lamb:
Simulations support the simple hypothesis that persistent coupling of electrochemical activity in recurrent network neurons is an objective signature of visual object unity. 673-680 - Weijiang Feng, Naiyang Guan, Yuan Li, Xiang Zhang, Zhigang Luo:
Audio visual speech recognition with multimodal recurrent neural networks. 681-688 - Amir Madany Mamlouk, Martin Haker, Thomas Martinetz:
Perception space analysis: From color vision to odor perception. 689-696 - A. Ravishankar Rao:
The modulation of synchronization by tuning functions and its effect on multi-sensory perception. 697-704 - Frank Hung-Fat Leung, Yuechi Jiang:
Using regularized fisher discriminant analysis to improve the performance of Gaussian supervector in session and device identification. 705-712 - Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi:
Machine learning approaches to predict learning outcomes in Massive open online courses. 713-720 - Paolo Ciancarini, Francesco Poggi, Davide Rossi, Alberto Sillitti:
Analyzing and predicting concurrency bugs in open source systems. 721-728 - Christina Klüver, Jürgen Klüver, Dirk Zinkhan:
A self-enforcing neural network as decision support system for air traffic control based on probabilistic weather forecasts. 729-736 - Zili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang:
Structure embedding for knowledge base completion and analytics. 737-743 - Manoj Sharma, Santanu Chaudhury, Brejesh Lall:
Deep learning based frameworks for image super-resolution and noise-resilient super-resolution. 744-751 - Lukas Cavigelli, Pascal Hager, Luca Benini:
CAS-CNN: A deep convolutional neural network for image compression artifact suppression. 752-759 - Francois de La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch:
Learning of binocular fixations using anomaly detection with deep reinforcement learning. 760-767 - Roman Ilin, Thomas Watson, Robert Kozma:
Abstraction hierarchy in deep learning neural networks. 768-774 - David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill:
Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. 775-782 - Carlos Villaseñor, Nancy Arana-Daniel, Alma Y. Alanis, Carlos López-Franco:
Hyperellipsoidal neuron. 788-794 - Yoshihiro Osakabe, Shigeo Sato, Hisanao Akima, Masao Sakuraba, Mitsunaga Kinjo:
Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution. 803-807 - Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin:
Matrix variate RBM model with Gaussian distributions. 808-815 - Calin-Adrian Popa:
Complex-valued convolutional neural networks for real-valued image classification. 816-822 - Andrii Shalaginov:
Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. 823-830 - Shigang Yue, Qinbing Fu:
Modeling direction selective visual neural network with ON and OFF pathways for extracting motion cues from cluttered background. 831-838 - Yinyan Zhang, Shuai Li, Xin Luo, Mingsheng Shang:
A dynamic neural controller for adaptive optimal control of permanent magnet DC motors. 839-844 - Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi:
Critical echo state network dynamics by means of Fisher information maximization. 852-858 - Sadaf Gulshad, Dick Sigmund, Jong-Hwan Kim:
Learning to reproduce stochastic time series using stochastic LSTM. 859-866 - Jonathan A. Cox:
Parameter compression of recurrent neural networks and degradation of short-term memory. 867-872 - Xiao Huang, Wei Wu, Peijie Yin, Hong Qiao:
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework. 873-879 - Martin J. Loza-Lopez, Tania B. Lopez-Garcia, Riemann Ruiz-Cruz, Edgar N. Sánchez:
Neural control for a microgrid. 880-887 - Sebastián Basterrech:
Empirical analysis of the necessary and sufficient conditions of the echo state property. 888-896 - Asma ElAdel, Ridha Ejbali, Mourad Zaied, Chokri Ben Amar:
Fast deep neural network based on intelligent dropout and layer skipping. 897-902 - Jinming Zhao, Yanyan Xu, Dengfeng Ke, Kaile Su:
Deep neural network bottleneck features for bird species verification. 927-933 - Qichuan Yang, Zhiqiang He, Fujiang Ge, Yang Zhang:
Sequence-to-sequence prediction of personal computer software by recurrent neural network. 934-940 - Zhangyang Wang, Ding Liu, Shiyu Chang, Florin Dolcos, Diane Beck, Thomas S. Huang:
Image aesthetics assessment using Deep Chatterjee's machine. 941-948 - Ernest Fokoué, Lakshmi Ravi, Dhireesha Kudithipudi:
A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence. 962-967 - Yuan Ling, Yuan An, Mengwen Liu, Sadid A. Hasan, Ye-tian Fan, Xiaohua Hu:
Integrating extra knowledge into word embedding models for biomedical NLP tasks. 968-975 - Francesco Trovò, Stefano Paladino, Paolo Simone, Marcello Restelli, Nicola Gatti:
Risk-averse trees for learning from logged bandit feedback. 976-983 - Silas Evandro Nachif Fernandes, João Paulo Papa:
Pruning optimum-path forest ensembles using quaternion-based optimization. 984-991 - Shaoyi Liang, Deqiang Han, Lei Zhang, Qinke Peng:
A novel clustering oriented closeness measure based on neighborhood chain. 997-1004 - Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
A partial labeling framework for multi-class imbalanced streaming data. 1018-1025 - Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa:
Class representative autoencoder for low resolution multi-spectral gender classification. 1026-1033 - Felipe Duque Belfort, Hansenclever F. de Bassani, Aluizio F. R. Araujo:
Online incremental supervised growing neural gas. 1034-1040 - Changde Du, Changying Du, Huiguang He:
Sharing deep generative representation for perceived image reconstruction from human brain activity. 1049-1056 - Bruno Miguel Nogueira de Souza, Jacques Facon, David Menotti:
Colorness index strategy for pixel fire segmentation. 1057-1063 - Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu:
Large-scale image classification using fast SVM with deep quasi-linear kernel. 1064-1071 - Lynn Houthuys, Zahra Karevan, Johan A. K. Suykens:
Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting. 1102-1108 - Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker:
Efficient global network learning from local reconstructions. 1117-1124 - Zhenghao Chen, Jianlong Zhou, Xiuying Wang, Jeremy Swanson, Fang Chen, Dagan Feng:
Neural net-based and safety-oriented visual analytics for time-spatial data. 1133-1140 - Alexandros Iosifidis, Moncef Gabbouj:
Class-specific kernel discriminant analysis based on Cholesky decomposition. 1141-1146 - Mohammad Amir Sharif, Vijay V. Raghavan:
Link prediction based hybrid recommendation system using user-page preference graphs. 1147-1154 - Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Xiaoli Bai, Jia Li:
Optimize collapsed Gibbs sampling for biterm topic model by alias method. 1155-1162 - Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano, Shigeru Kubota, Shigeo Sato:
Modularity-dependent modulation of synchronized bursting activity in cultured neuronal network models. 1163-1168 - Dawei Gong, Zhiwen Zhang, Xiaolin Dai, Jinliang Song, Bonan Huang:
Synchronization analysis for complex networks with interval delay via non-fragile pinning control. 1169-1173 - Bo Zhang, Hua Zhou, Liwei Wang, Chul Sung:
Classification based on neuroimaging data by tensor boosting. 1174-1179 - Wen-Ran Zhang:
Programming the mind and decrypting the universe - A bipolar quantum-neuro-fuzzy associative memory model for quantum cognition and quantum intelligence. 1180-1187 - Jasmine A. Berry, Robert Ritter, Akira Nagamori, Francisco J. Valero Cuevas:
The neural control of movement must contend with trajectory-specific and nonlinearly distorted manifolds of afferent muscle spindle activity. 1188-1194 - Bruno Tailie, Michaël Garcia Ortiz:
Separating inference from feature learning in deep unsupervised visual saliency estimation. 1195-1201 - Rakib Al-Fahad, Mohammed Yeasin, A. S. M. Iftekhar Anam, Bahareh Elahian:
Selection of stable features for modeling 4-D affective space from EEG recording. 1202-1209 - Haotian Xu, Lingyu Xu:
Multi-label feature selection algorithm based on label pairwise ranking comparison transformation. 1210-1217 - Masatoshi Yamaguchi, Hakaru Tamukoh, Hideyuki Suzuki, Takashi Morie:
A CMOS chaotic Boltzmann machine circuit and three-neuron network operation. 1218-1224 - Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang:
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. 1230-1236 - Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris:
Deep learning based nonlinear principal component analysis for industrial process fault detection. 1237-1243 - Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardiña:
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm. 1244-1251 - Johan Isaksson, Ida Arvidsson, Kalle Åström, Anders Heyden:
Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN. 1252-1256 - Sri Harsha Dumpala, Sunil Kumar Kopparapu:
Improved speaker recognition system for stressed speech using deep neural networks. 1257-1264 - Can Wang, Qiudan Li, Lei Wang, Daniel Dajun Zeng:
Incorporating message embedding into co-factor matrix factorization for retweeting prediction. 1265-1272 - SeyedHamid Shekarforoush, Robert Green, Robert Dyer:
Classifying commit messages: A case study in resampling techniques. 1273-1280 - Mingzhao Hu, Yifei Zhang, N. Maritza Dowling:
An analysis of factors predicting memory loss in Alzheimer's disease prevention. 1281-1288 - Shaokai Wang, Xutao Li, Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du:
A generative model with hypergraph regularizers for protein function prediction. 1289-1296 - Cosimo Ieracitano, Jonas Duun-Henriksen, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito:
Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients. 1297-1304 - Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen:
Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. 1305-1312 - B. N. Sumukha, R. Chandan Kumar, Skanda S. Bharadwaj, Koshy George:
Online peak detection in photoplethysmogram signals using sequential learning algorithm. 1313-1320 - Dayuan Li, Lin Zhu, Wenzheng Bao, Fei Cheng, Yi Ren, De-Shuang Huang:
Cross-validated smooth multi-instance learning. 1321-1325 - Fabian Sachara, Finn Handmann, Nico Cremer, Thomas Kopinski, Alexander Gepperth, Uwe Handmann:
A large-scale multi-pose 3D-RGB object database. 1326-1332 - Yuntao Liao, Kazushige Koiwai, Toru Yamamoto:
Design of a hierarchical-clustering CMAC-PID controller. 1333-1338 - Yongliang Yang, Donald Wunsch, Yixin Yin:
Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems. 1339-1346 - Yufei Tang, Chaoxu Mu, Haibo He:
Near-space aerospace vehicles attitude control based on adaptive dynamic programming and sliding mode control. 1347-1353 - Raquel Almeida, Zenilton Kleber Gonçalves do Patrocínio Jr., Silvio Jamil Ferzoli Guimarães:
Exploring quantization error to improve human action classification. 1354-1360 - Ankit Rajpal, Anurag Mishra, Rajni Bala:
Fast digital watermarking of uncompressed colored images using bidirectional extreme learning machine. 1361-1366 - Yao Miao, Jianting Cao:
Comparison of EMD, MEMD and 2T-EMD by analyzing standard artificial signals and EEG. 1367-1371 - Unaiza Ahsan, Munmun De Choudhury, Irfan A. Essa:
Towards using visual attributes to infer image sentiment of social events. 1372-1379 - Qiubin Liang, Wenge Rong, Jiayi Zhang, Jingshuang Liu, Zhang Xiong:
Restricted Boltzmann machine based stock market trend prediction. 1380-1387 - Hayley Beltz, Aniko Fulop, Raoul R. Wadhwa, Péter Érdi:
From ranking and clustering of evolving networks to patent citation analysis. 1388-1394 - Yiming Li, Baogang Wei, Liang Yao, Hui Chen, Zherong Li:
Knowledge-based document embedding for cross-domain text classification. 1395-1402 - Weizheng Chen, Chi Liu, Jun Yin, Hongfei Yan, Yan Zhang:
Mining E-commercial data: A text-rich heterogeneous network embedding approach. 1403-1410 - Zheng Wang, Irena Koprinska:
Solar power prediction with data source weighted nearest neighbors. 1411-1418 - David M. Q. Nelson, Adriano C. M. Pereira, Renato A. de Oliveira:
Stock market's price movement prediction with LSTM neural networks. 1419-1426 - Sana Siddiqui, Muhammad Salman Khan, Ken Ferens:
Multiscale Hebbian neural network for cyber threat detection. 1427-1434 - Xuan Peng, Xunzhang Gao, Xiang Li:
An infinite classification RBM model for radar HRRP recognition. 1442-1448 - Xiaoli Liu, Chun-Yi Su:
FNN approximation-based adaptive control for suppressing chatter in nonlinear milling with piezo-actuators. 1449-1456 - Brandon Conn, Ognjen Arandjelovic:
Towards computer vision based ancient coin recognition in the wild - Automatic reliable image preprocessing and normalization. 1457-1464 - Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein:
Impact of struck-out text on writer identification. 1465-1471 - Dinart Duarte Braga, Ricardo Tanscheit, Marley M. B. R. Vellasco:
Neural network nonlinear plant identification as a tool in intelligent controller design. 1472-1479 - Yufei Tang, Jun Yang:
Dynamic event monitoring using unsupervised feature learning towards smart grid big data. 1480-1487 - Deqing Zhai, Yeng Chai Soh:
Balancing indoor thermal comfort and energy consumption of air-conditioning and mechanical ventilation systems via sparse Firefly algorithm optimization. 1488-1494 - Jiehong Wu, Liangkai Zou, Xiang Li, Zhaokui Li, Liu Yang:
Study for ELM-based recognition of fold structure aiming at remote sensing image. 1495-1501 - Fei Lin, Shihua Wang, Jian Jiang, Weidi Fan, Yong Sun:
Predicting public bicycle rental number using multi-source data. 1502-1509 - Zengmao Wang, Bo Du, Lefei Zhang:
Multi-class active learning: A hybrid informative and representative criterion inspired approach. 1510-1517 - Seiya Satoh, Hiroshi Yamakawa:
Incremental extraction of high-dimensional equivalence structures. 1518-1524 - Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, Li Guo:
CPMF: A collective pairwise matrix factorization model for upcoming event recommendation. 1532-1539 - Xinyi Zhang, Guotao Hui, Qiang Gao, Xiaoya Ren, Bowen Zhou, Dongsheng Yang, Yingjiao Bi:
A multi-object optimization model of electricity fee payment site selection based on multiple payment methods. 1540-1546 - Michele Valenti, Stefano Squartini, Aleksandr Diment, Giambattista Parascandolo, Tuomas Virtanen:
A convolutional neural network approach for acoustic scene classification. 1547-1554 - Zixing Zhang, Felix Weninger, Martin Wöllmer, Jing Han, Björn W. Schuller:
Towards intoxicated speech recognition. 1555-1559 - Johanna Bohm, Florian Eyben, Maximilian Schmitt, Harald Kosch, Björn W. Schuller:
Seeking the SuperStar: Automatic assessment of perceived singing quality. 1560-1569 - Zhiguang Wang, Weizhong Yan, Tim Oates:
Time series classification from scratch with deep neural networks: A strong baseline. 1578-1585 - Ariel Ruiz-Garcia, Mark Elshaw, Abdulrahman Altahhan, Vasile Palade:
Stacked deep convolutional auto-encoders for emotion recognition from facial expressions. 1586-1593 - Sergio Escalera, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon:
ChaLearn looking at people: A review of events and resources. 1594-1601 - Enrique Romero:
Benchmarking the selection of the hidden-layer weights in extreme learning machines. 1607-1614 - Roozbeh Razavi-Far, Mehrdad Saif, Vasile Palade, Enrico Zio:
Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors. 1615-1622 - Yonghua Yin, Lan Wang, Erol Gelenbe:
Multi-layer neural networks for quality of service oriented server-state classification in cloud servers. 1623-1627 - Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa:
t-Distributed stochastic neighbor embedding spectral clustering. 1628-1632 - Adham Atyabi, Beibin Li, Amy Yeo-jin Ahn, Minah Kim, Erin Barney, Frederick Shic:
An exploratory analysis targeting diagnostic classification of AAC app usage patterns. 1633-1640 - A. Ravishankar Rao, Daniel Clarke:
An open-source framework for the interactive exploration of Big Data: Applications in understanding health care. 1641-1648 - Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Marono:
Machine learning models to search relevant genetic signatures in clinical context. 1649-1656 - Vinay Vittal Karagod, Kaushik Sinha:
A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data. 1657-1664 - Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown:
Exploring the consequences of distributed feature selection in DNA microarray data. 1665-1672 - Luisa Sánchez Brea, Noelia Barreira-Rodríguez, Antonio Mosquera González, Katharine Evans:
Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva. 1673-1680 - Ashley Varghese, Jayavardhana Gubbi, Hrishikesh Sharma, P. Balamuralidhar:
Power infrastructure monitoring and damage detection using drone captured images. 1681-1687 - Daniel Cook, Andrew Vardy:
Towards real-time robot simulation on uneven terrain using neural networks. 1688-1695 - Chris Yakopcic, Md. Zahangir Alom, Tarek M. Taha:
Extremely parallel memristor crossbar architecture for convolutional neural network implementation. 1696-1703 - Chris Yakopcic, Shu Wang, Weisong Wang, Eunsung Shin, Guru Subramanyam, Tarek M. Taha:
Methods for high resolution programming in lithuim niobate memristors for neuromorphic hardware. 1704-1708 - Milla S. A. Ferro, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho:
Non-negative pyramidal neural network for parts-based learning. 1709-1716 - Hsiao-Tien Fan, Wei Wang, Zhanpeng Jin:
Performance optimization of echo state networks through principal neuron reinforcement. 1717-1723 - Qinxue Meng, Jia Wu, John T. Ellis, Paul J. Kennedy:
Dynamic island model based on spectral clustering in genetic algorithm. 1724-1731 - Giacomo Boracchi, Cristiano Cervellera, Danilo Macciò:
Uniform histograms for change detection in multivariate data. 1732-1739 - Muhammad Umer, Robi Polikar, Christopher Frederickson:
LEVELIW: Learning extreme verification latency with importance weighting. 1740-1747 - Sascha Saralajew, Thomas Villmann:
Transfer learning in classification based on manifolc. models and its relation to tangent metric learning. 1756-1765 - Dali Zhu, Na Pang, Gang Li, Shaowu Liu:
NotiFi: A ubiquitous WiFi-based abnormal activity detection system. 1766-1773 - Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo:
Policy gradient methods with Gaussian process modelling acceleration. 1774-1779 - Cesare Alippi, Viviana D'Alto, Mirko Falchetto, Danilo Pau, Manuel Roveri:
Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. 1780-1786 - So Yahata, Tetsu Onishi, Kanta Yamaguchi, Seiichi Ozawa, Jun Kitazono, Takenao Ohkawa, Takeshi Yoshida, Noriyuki Murakami, Hiroyuki Tsuji:
A hybrid machine learning approach to automatic plant phenotyping for smart agriculture. 1787-1793 - Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang:
A theoretical study of the relationship between an ELM network and its subnetworks. 1794-1801 - Philip de Chazal, Mark D. McDonnell:
Regularized training of the extreme learning machine using the conjugate gradient method. 1802-1808 - Yoshitaka Itoh, Masaharu Adachi:
Reconstruction of bifurcation diagrams using an extreme learning machine with a pruning algorithm. 1809-1816 - Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse:
A low-dimensional vector representation for words using an extreme learning machine. 1817-1822 - Timoleon Moraitis, Abu Sebastian, Irem Boybat, Manuel Le Gallo, Tomas Tuma, Evangelos Eleftheriou:
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes. 1823-1830 - Takashi Matsubara:
Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns. 1831-1839 - Laxmi R. Iyer, Arindam Basu:
Unsupervised learning of event-based image recordings using spike-timing-dependent plasticity. 1840-1846 - Gopalakrishnan Srinivasan, Sourjya Roy, Vijay Raghunathan, Kaushik Roy:
Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. 1847-1854 - Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa:
Deep Boltzmann machines for robust fingerprint spoofing attack detection. 1863-1870 - Robin Nix, Jian Zhang:
Classification of Android apps and malware using deep neural networks. 1871-1878 - Dick Sigmund, Gyeong-Moon Park, Jong-Hwan Kim:
Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval. 1879-1886 - Michael Potter, Leon Reznik, Stanislaw P. Radziszowski:
Neural networks and the search for a quadratic residue detector. 1887-1894 - Hong Hui Tan, King Hann Lim, Hendra Gunawan Harno:
Stochastic diagonal approximate greatest descent in neural networks. 1895-1898 - Aleksandar Botev, Guy Lever, David Barber:
Nesterov's accelerated gradient and momentum as approximations to regularised update descent. 1899-1903 - B. Chandra, Rajesh Kumar Sharma:
On improving recurrent neural network for image classification. 1904-1907 - Pierre-Alexandre Murena, Antoine Cornuéjols, Jean-Louis Dessalles:
Incremental learning with the minimum description length principle. 1908-1915 - Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén:
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. 1916-1923 - Md. Asafuddoula, Brijesh Verma, Mengjie Zhang:
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. 1924-1931 - Skanda S. Bharadwaj, R. Chandan Kumar, B. N. Sumukha, Koshy George:
Pattern classification with meta-cognition and online sequential learning algorithm. 1932-1939 - Oliver Wallscheid, Wilhelm Kirchgassner, Joachim Böcker:
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors. 1940-1947 - Henry Wing Fung Yeung, Jiaxi Li, Yuk Ying Chung:
Improved performance of face recognition using CNN with constrained triplet loss layer. 1948-1955 - Jiaxi Li, Guang Liu, Henry Wing Fung Yeung, Junfu Yin, Yuk Ying Chung, XiaoMing Chen:
A novel stacked denoising autoencoder with swarm intelligence optimization for stock index prediction. 1956-1961 - Raka Jovanovic, Luis M. Pomares, Yasir E. Mohieldeen, Daniel Perez-Astudillo, Dunia Bachour:
An evolutionary method for creating ensembles with adaptive size neural networks for predicting hourly solar irradiance. 1962-1967 - Mahmood Yousefi-Azar, Mark D. McDonnell:
Semi-supervised convolutional extreme learning machine. 1968-1974 - Zhen Liu, Deyu Tang, Jincheng Li, Ruoyu Wang:
Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem. 1975-1982 - Jin-Man Park, Jong-Hwan Kim:
Online recurrent extreme learning machine and its application to time-series prediction. 1983-1990 - Julio J. Valdés, Catherine Cheung, Alejandro Lehman Rubio:
Extreme learning machines to approximate low dimensional spaces for helicopter load signal and fatigue life estimation. 1991-1998 - Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu:
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. 1999-2006 - Yingyezhe Jin, Peng Li:
Calcium-modulated supervised spike-timing-dependent plasticity for readout training and sparsification of the liquid state machine. 2007-2014 - Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan Galiardi, Conrad D. James, James B. Aimone:
Optimization-based computation with spiking neurons. 2015-2022 - Amirhossein Tavanaei, Anthony S. Maida:
Multi-layer unsupervised learning in a spiking convolutional neural network. 2023-2030 - Yuqian Zhou, Bertram E. Shi:
Action unit selective feature maps in deep networks for facial expression recognition. 2031-2038 - Markus Eisenbach, Ronny Stricker, Daniel Seichter, Karl Amende, Klaus Debes, Maximilian Sesselmann, Dirk Ebersbach, Ulrike Stoeckert, Horst-Michael Gross:
How to get pavement distress detection ready for deep learning? A systematic approach. 2039-2047 - Juarez Monteiro, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi:
Deep neural networks for kitchen activity recognition. 2048-2055 - Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu:
Deep convolutional neural networks for pedestrian detection with skip pooling. 2056-2063 - Yazhou Ren, Peng Zhao, Zenglin Xu, Dezhong Yao:
Balanced self-paced learning with feature corruption. 2064-2071 - Ulf Johansson, Henrik Linusson, Tuve Löfström, Henrik Boström:
Model-agnostic nonconformity functions for conformal classification. 2072-2079 - Davide Bacciu, Francesco Crecchi, Davide Morelli:
DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. 2080-2087 - Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis:
Concept drift learning with alternating learners. 2104-2111 - Bartosz Krawczyk, Michal Wozniak:
Online query by committee for active learning from drifting data streams. 2120-2127 - Chenghao Cai, Dengfeng Ke, Yanyan Xu, Kaile Su:
Symbolic manipulation based on deep neural networks and its application to axiom discovery. 2136-2143 - Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala, Manish Shrivastava:
Significance of neural phonotactic models for large-scale spoken language identification. 2144-2151 - Moirangthem Dennis Singh, Minho Lee:
Temporal hierarchies in multilayer gated recurrent neural networks for language models. 2152-2157 - Xiang Zhang, Wenge Rong, Jingshuang Liu, Chuan Tian, Zhang Xiong:
Convolution neural network based syntactic and semantic aware paraphrase identification. 2158-2163 - Yuanzhi Ke, Masafumi Hagiwara:
Alleviating overfitting for polysemous words for word representation estimation using lexicons. 2164-2170 - Amr M. Hassan, Hai Helen Li, Yiran Chen:
Hardware implementation of echo state networks using memristor double crossbar arrays. 2171-2177 - Matthew Dale, Susan Stepney, Julian F. Miller, Martin Trefzer:
Reservoir computing in materio: A computational framework for in materio computing. 2178-2185 - Cory E. Merkel:
Design of a time delay reservoir using stochastic logic: A feasibility study. 2186-2192 - Wei Wang, Hsiao-Tien Fan, Zhanpeng Jin:
Structure optimization of dynamic reservoir ensemble using genetic algorithm. 2193-2200 - Luca Pasa, Alessandro Sperduti, Peter Tiño:
Linear dynamical based models for sequential domains. 2201-2208 - Mihai A. Petrovici, Anna Schroeder, Oliver Breitwieser, Andreas Grübl, Johannes Schemmel, Karlheinz Meier:
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware. 2209-2216 - Johannes Schemmel, Laura Kriener, Paul Müller, Karlheinz Meier:
An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites. 2217-2226 - Sebastian Schmitt, Johann Klähn, Guillaume Bellec, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert A. Legenstein, Wolfgang Maass, Christian Mayr, René Schüffny, Johannes Schemmel, Karlheinz Meier:
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. 2227-2234 - Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, Radu Grosu:
Compositional neural-network modeling of complex analog circuits. 2235-2242 - Amarnath Mahadevuni, Peng Li:
Navigating mobile robots to target in near shortest time using reinforcement learning with spiking neural networks. 2243-2250 - Mohammadhani Fouladgar, Mostafa Parchami, Ramez Elmasri, Amir Ghaderi:
Scalable deep traffic flow neural networks for urban traffic congestion prediction. 2251-2258 - Chester V. Dolph, Mahbubul Alam, Zeina A. Shboul, Manar D. Samad, Khan M. Iftekharuddin:
Deep learning of texture and structural features for multiclass Alzheimer's disease classification. 2259-2266 - Juarez Monteiro, João Paulo Aires, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi:
Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks. 2267-2274 - Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young:
Vertex reconstruction of neutrino interactions using deep learning. 2275-2281 - Shicong Liu, Hongtao Lu:
Learning deep representations with diode loss for quantization-based similarity search. 2282-2289 - Muhammad Salman Khan, Sana Siddiqui, Ken Ferens:
Using information fractal dimension as temperature in restricted Boltzmann Machine. 2290-2297 - Vipul Arora, Laxmidhar Behera, Tharun Kumar Reddy, Ajay Pratap Yadav:
HJB equation based learning scheme for neural networks. 2298-2305 - Liang Liao, Stephen John Maybank, Yanning Zhang, Xin Liu:
Supervised classification via constrained subspace and tensor sparse representation. 2306-2313 - Jinghao Yan, Shijin Yuan, Junhui Zhao, Bin Mu:
Parallel dynamic search fireworks algorithm with linearly decreased dimension number strategy for solving conditional nonlinear optimal perturbation. 2314-2321 - Nima Mohajerin, Steven Lake Waslander:
State initialization for recurrent neural network modeling of time-series data. 2330-2337 - Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara:
A framework for benchmarking machine learning methods using linear models for univariate time series prediction. 2338-2345 - Takumi Ichimura, Shin Kamada:
Adaptive learning method of recurrent temporal deep belief network to analyze time series data. 2346-2353 - Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia:
ℓ2-type regularization-based unsupervised anomaly detection from temporal data. 2354-2361 - Blanca Maria Priego Torres, Abraham Prieto, Richard J. Duro, Jocelyn Chanussot:
Spatio-temporal cellular automata-based filtering for image sequence denoising. 2362-2369 - Shiyao Wang, Zhidong Deng:
Tightly-coupled convolutional neural network with spatial-temporal memory for text classification. 2370-2376 - Guibin Chen, Deheng Ye, Zhenchang Xing, Jieshan Chen, Erik Cambria:
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. 2377-2383 - Jonatas Wehrmann, Willian Becker, Henry E. L. Cagnini, Rodrigo C. Barros:
A character-based convolutional neural network for language-agnostic Twitter sentiment analysis. 2384-2391 - Xiaojia Pu, Gangshan Wu, Chunfeng Yuan:
Sentiment analysis with the exploration of overall opinion sentences. 2392-2399 - Pengfei Liu, King Keung Wu, Helen M. Meng:
A model of extended paragraph vector for document categorization and trend analysis. 2400-2406 - Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar:
Photonic reservoir computer with output feedback for chaotic time series prediction. 2407-2413 - Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi:
Robustness of a memristor based liquid state machine. 2414-2420 - Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone:
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. 2421-2428 - Nathan McDonald:
Reservoir computing & extreme learning machines using pairs of cellular automata rules. 2429-2436 - Igor Farkas, Peter Gergel:
Maximizing memory capacity of echo state networks with orthogonalized reservoirs. 2437-2442 - Tae Seung Kang, Arunava Banerjee:
Learning deterministic spiking neuron feedback controllers. 2443-2450 - Surya Narayanan, Ali Shafiee, Rajeev Balasubramonian:
INXS: Bridging the throughput and energy gap for spiking neural networks. 2451-2459 - Chamika M. Liyanagedera, Parami Wijesinghe, Akhilesh Jaiswal, Kaushik Roy:
Image segmentation with stochastic magnetic tunnel junctions and spiking neurons. 2460-2468 - Michael Stiber, Fumitaka Kawasaki, Delmar B. Davis, Hazeline U. Asuncion, Jewel Yun-Hsuan Lee, Destiny Boyer:
BrainGrid+Workbench: High-performance/high-quality neural simulation. 2469-2476 - Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Generalized model of biological neural networks: Progressive operational perceptrons. 2477-2485 - Boris Knyazev, Erhardt Barth, Thomas Martinetz:
Recursive autoconvolution for unsupervised learning of convolutional neural networks. 2486-2493 - Xi Chen, Xiaolin Hu, Hucheng Zhou, Ningyi Xu:
FxpNet: Training a deep convolutional neural network in fixed-point representation. 2494-2501 - Niange Yu, Shi Qiu, Xiaolin Hu, Jianmin Li:
Accelerating convolutional neural networks by group-wise 2D-filter pruning. 2502-2509 - Kodai Ueyoshi, Kota Ando, Kentaro Orimo, Masayuki Ikebe, Tetsuya Asai, Masato Motomura:
Exploring optimized accelerator design for binarized convolutional neural networks. 2510-2516 - Seunghyeon Kim, Wooyoung Kim, Yung-Kyun Noh, Frank Chongwoo Park:
Transfer learning for automated optical inspection. 2517-2524 - Konrad Zolna:
Improving the performance of neural networks in regression tasks using drawering. 2533-2538 - Felipe Kenji Nakano, Walter José G. S. Pinto, Gisele Lobo Pappa, Ricardo Cerri:
Top-down strategies for hierarchical classification of transposable elements with neural networks. 2539-2546 - Hande Alemdar, Vincent Leroy, Adrien Prost-Boucle, Frédéric Pétrot:
Ternary neural networks for resource-efficient AI applications. 2547-2554 - Daniel Lückehe, Stefan Oehmcke, Oliver Kramer:
Manifold learning with iterative dimensionality photo-projection. 2555-2561 - Ryotaro Kamimura:
Potential layer-wise supervised learning for training multi-layered neural networks. 2568-2575 - Hamid Khodabandehlou, Mohammad Sami Fadali:
A quotient gradient method to train artificial neural networks. 2576-2581 - Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Jia Li:
ABiRCNN with neural tensor network for answer selection. 2582-2589 - Dongsheng Guo, Aifen Li, Xinjie Lin, Feng Xu, Zhaozhu Su:
Three-step DTZNN algorithm for time-varying linear matrix inequality solving. 2590-2595 - Arthur Jack Russell, Emmanouil Benetos, Artur S. d'Avila Garcez:
On the memory properties of recurrent neural models. 2596-2603 - Alessandra Santana, Alessandra Marli M. Morais, Marcos G. Quiles:
An alternative approach for binary and categorical self-organizing maps. 2604-2610 - Bradley Harding, Marc-Andre Goulet, Denis Cousineau, Sylvain Chartier:
Are recurrent associative memories good models of decision making? Modelling discrimination decisions from different perspectives. 2621-2628 - Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy:
EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. 2629-2635 - Catherine D. Schuman:
The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation. 2636-2643 - Ashley A. Prater:
Comparison of echo state network output layer classification methods on noisy data. 2644-2651 - Farzaneh S. Fard, Paul Hollensen, Stuart Mcilory, Thomas P. Trappenberg:
Impact of biased mislabeling on learning with deep networks. 2652-2657 - Monit Shah Singh, Vinaychandran Pondenkandath, Bo Zhou, Paul Lukowicz, Marcus Liwicki:
Transforming sensor data to the image domain for deep learning - An application to footstep detection. 2665-2672 - Yuki Kominami, Hideki Ogawa, Kazuyuki Murase:
Convolutional neural networks with multi-valued neurons. 2673-2678 - Angshul Majumdar, Vanika Singhal:
Noisy deep dictionary learning: Application to Alzheimer's Disease classification. 2679-2683 - Hidenori Ide, Takio Kurita:
Improvement of learning for CNN with ReLU activation by sparse regularization. 2684-2691 - Mohammed Yeasin, Faruk Ahmed:
Optimization and evaluation of deep architectures for ambient awareness on a sidewalk. 2692-2697 - Lizhen Dai, Gang Yang, Hui Yang, Rongxiu Lu:
A neuron-output-significant-index-based self-organization pruning algorithm for S-LINN. 2708-2715 - Shengyang Luan, Tianshuang Qiu, José C. Príncipe:
Adaptive filtering based on extended kernel recursive maximum correntropy. 2716-2722 - Fouad Slimane, Andrea Mazzei, Orlin Topalov, Greta Verzi, Frédéric Kaplan:
A web-based tool for segmentation and automatic transcription of historical documents. 2730-2737 - Caleb Nelson, Yulo Leake, Brian Hutchinson:
Low n-rank tensor log-linear models for classification. 2738-2742 - Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Jade Hind, Naeem Radi:
Machine learning approaches for the prediction of obesity using publicly available genetic profiles. 2743-2750 - Danillo Roberto Pereira, João P. Papa, André N. de Souza:
FEMaR: A finite element machine for regression problems. 2751-2757 - Aneesh Sreevallabh Chivukula, Wei Liu:
Adversarial learning games with deep learning models. 2758-2767 - Robert Keight, Dhiya Al-Jumaily, Abir Jaafar Hussain, Mohammed Al-Jumeily, Conor Mallucci:
Towards the discrimination of primary and secondary headache: An intelligent systems approach. 2768-2775 - Sriparna Saha, Rimita Lahiri, Amit Konar, Bonny Banerjee, Atulya K. Nagar:
HMM-based gesture recognition system using kinect sensor for improvised human-computer interaction. 2776-2783 - Rui Zhang, Feiping Nie, Xuelong Li:
Projected clustering via robust orthogonal least square regression with optimal scaling. 2784-2791 - Rodrigo C. de Araujo, Francisco de A. T. de Carvalho, Yves Lechevallier:
Multi-view hard c-means with automated weighting of views and variables. 2792-2799 - Bruno A. Pimentel, Marcilio C. P. de Souto, Renata M. C. R. de Souza:
Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy. 2800-2804 - Wei Hong Chin, Azhar Aulia Saputra, Naoyuki Kubota:
A neuro-based network for on-line topological map building and dynamic path planning. 2805-2810 - George D. Montanez, Cosma Rohilla Shalizi:
The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling. 2811-2819 - Seaar Al Dabooni, Donald Wunsch:
Mobile robot control based on hybrid neuro-fuzzy value gradient reinforcement learning. 2820-2827 - Zhen Ni, Naresh Malla, Xiangnan Zhong:
Towards enabling deep learning techniques for adaptive dynamic programming. 2828-2835 - Prabhash Kumarasinghe, Sundaram Suresh:
OMKT: Projection based bounded on-line multiple kernel tracker. 2857-2864 - Di Wu, Nabin Sharma, Michael Blumenstein:
Recent advances in video-based human action recognition using deep learning: A review. 2865-2872 - Md. Zahangir Alom, Mahbubul Alam, Tarek M. Taha, Khan M. Iftekharuddin:
Object recognition using cellular simultaneous recurrent networks and convolutional neural network. 2873-2880 - Zhengda Qin, Badong Chen, Nanning Zheng:
Random fourier feature kernel recursive least squares. 2881-2886 - Ardavan Salehi Nobandegani, Jad Kabbara, Ioannis N. Psaromiligkos:
Relevance effect: Exploiting Bayesian networks to improve supervised learning. 2887-2893 - Gaurav Goswami, Richa Singh, Mayank Vatsa, Angshul Majumdar:
Kernel group sparse representation based classifier for multimodal biometrics. 2894-2901 - Noel Khan, David A. Elizondo, Benjamin N. Passow, Pamela A. Hardaker:
Pose invariance through registration for hierarchical feature based pattern recognition systems. 2902-2910 - Felipe Gustavo Silva Teodoro, Sarajane Marques Peres, Clodoaldo Ap. M. Lima:
Feature selection for biometrie recognition based on electrocardiogram signals. 2911-2920 - Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik:
EMNIST: Extending MNIST to handwritten letters. 2921-2926 - Omid Keivani, Kaushik Sinha, Parikshit Ram:
Improved maximum inner product search with better theoretical guarantees. 2927-2934 - Erxue Min, Yawei Zhao, Jun Long, Chengkun Wu, Kuan Li, Jianping Yin:
SVRG with adaptive epoch size. 2935-2942 - Pouya Bashivan, Mohammed Yeasin, Gavin M. Bidelman:
Temporal progression in functional connectivity determines individual differences in working memory capacity. 2943-2949 - Jefferson Tales Oliva, João Luís Garcia Rosa:
The use of one-class classifiers for differentiating healthy from epileptic EEG segments. 2956-2963 - Gokhan Kaya, Arunava Banerjee:
Signal coding and reconstruction using deterministic spiking neurons. 2964-2970 - Hao Yan, Chuanzhu Sun, Xiaocui Wang, Lijun Bai:
Deteriorating neural connectivity of the hippocampal episodic memory network in mTBI patients: A cohort study. 2979-2986 - Khuong N. Nguyen, Yoonsuck Choe:
Dynamic control using feedforward networks with adaptive delay and facilitating neural dynamics. 2987-2994 - Alimed Celecia Ramos, Rene Gonzalez Hernandez, Marley M. B. R. Vellasco, Pedro C. G. da S. Vellasco:
Ensemble of classifiers applied to motor imagery task classification for BCI applications. 2995-3002 - Ching-Yu Chiu, Avinash Kumar Singh, Yu-Kai Wang, Jung-Tai King, Chin-Teng Lin:
A wireless steady state visually evoked potential-based BCI eating assistive system. 3003-3007 - Mantas Mikaitis, David R. Lester:
Brewing the first ever automatic memory management utility for SpiNNaker: Real-time garbage collection for STDP simulations. 3008-3015 - Eduardo Carvalho, Bruno V. Ferreira, Jair S. Ferreira Jr., Cleidson R. B. de Souza, Hanna V. Carvalho, Yoshihiko Suhara, Alex Sandy Pentland, Gustavo Pessin:
Exploiting the use of recurrent neural networks for driver behavior profiling. 3016-3021 - Stuart McIlroy, Yoshimasa Kubo, Thomas P. Trappenberg, James Toguri, Christian Lehmann:
In vivo classification of inflammation in blood vessels with convolutional neural networks. 3022-3027 - Xiao Bao, Tian Gao, Jun Du, Li-Rong Dai:
An investigation of high-resolution modeling units of deep neural networks for acoustic scene classification. 3028-3035 - C. Vishnu, Dinesh Singh, C. Krishna Mohan, Sobhan Babu:
Detection of motorcyclists without helmet in videos using convolutional neural network. 3036-3041 - Manali Naik, V. Srinivasa Chakravarthy:
A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts. 3050-3057 - Paul R. McWhirter, Iain A. Steele, Dhiya Al-Jumeily, Abir Hussain, Marley M. B. R. Vellasco:
The classification of periodic light curves from non-survey optimized observational data through automated extraction of phase-based visual features. 3058-3065 - Wen-Bin Liang, Chang-Dong Wang, Jian-Huang Lai:
Weighted numerical and categorical attribute clustering in data streams. 3066-3072 - Hoon Chung, Yoo Rhee Oh, Sung Joo Lee, Jeon Gue Park:
Phonetic state relation graph regularized deep neural network for robust acoustic model. 3081-3085 - Heinrich Dinkel, Yanmin Qian, Kai Yu:
Small-footprint convolutional neural network for spoofing detection. 3086-3091 - Mario Malcangi, Hao Quan, Philip Grew:
Biomorphic modeling of phoneme identification and classification based on an evolving fuzzy-neural network: From hardcomputing to softcomputing. 3092-3097 - Myung Seok Shim, Peng Li:
Biologically inspired reinforcement learning for mobile robot collision avoidance. 3098-3105 - A. Ashutosh, R. Savitha, S. Suresh:
Comprehensive study of features for subject-independent emotion recognition. 3114-3121 - Catherine Cheung, Julio J. Valdés, Alejandro Lehman Rubio:
Helicopter load signal and fatigue life estimation using low dimensional spaces. 3122-3129 - Shuwei Huo, Yuan Zhou, Sun-Yuan Kung:
Semi-supervised saliency classifier based on a linear feedback control system model. 3130-3137 - Hirokazu Madokoro, Kazuhito Sato, Kazuhisa Nakasho, Nobuhiro Shimoi:
Adaptive learning based driving episode description on category maps. 3138-3145 - Wenjun Huang, Ruimin Hu, Chao Liang, Weijian Ruan, Bo Luo:
Structural superpixel descriptor for visual tracking. 3146-3152 - Binh Nguyen, Dang Nguyen, Wanli Ma, Dat Tran:
Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression. 3153-3160 - Dmitry Kangin, Garik Markarian:
Multi-Bernoulli filter for group object tracking and its Gaussian-Wishart implementation. 3161-3168 - Li Wang, Xiaoliang Xie, Gui-Bin Bian, Zeng-Guang Hou, Xiao-Ran Cheng, Pusit Prasong:
Guide-wire detection using region proposal network for X-ray image-guided navigation. 3169-3175 - Frank Z. Xing, Erik Cambria, Xiaomei Zou:
Predicting evolving chaotic time series with fuzzy neural networks. 3176-3183 - Henrique dos Santos Passos, Felipe Gustavo Silva Teodoro, Bruno Matarazzo Duru, Edenilton Lima de Oliveira, Sarajane Marques Peres, Clodoaldo Ap. M. Lima:
Symbolic representations of time series applied to biometric recognition based on ECG signals. 3199-3207 - Yuxiang Bao, Hua Xu, Fei Jia, Xiaoli Bai:
Aspect-based sentiment analysis using ABPCS model and SVMPperf in Chinese reviews. 3208-3215 - Qian Zuo, Chang-Dong Wang, Jian-Huang Lai:
Text clustering using enhanced PLSA with word correlation. 3216-3223 - Chinmay Shah, Mehdi Abolhassani, Heidar Malki:
Fuzzy controlled VSC of battery storage system for seamless transition of microgrid between grid-tied and islanded mode. 3224-3227 - Thorsten Vogt, Daniel Weber, Oliver Wallscheid, Joachim Böcker:
Prediction of residual power peaks in industrial microgrids using artificial neural networks. 3228-3235 - Tayana Moreira, D. N. Brandao, D. B. Haddad, M. B. Ceddia, E. F. M. Pinheiro, R. F. Oliveira:
A first approach using neural network to estimating soil bulk density of Urucu basin in Central Amazon-Brazil. 3236-3239 - Ana Rocío Cárdenas Maita, Marcelo Fantinato, Sarajane Marques Peres, Lucinéia Heloisa Thom, Patrick C. K. Hung:
Mining unstructured processes: An exploratory study on a distance learning domain. 3240-3247 - Mototaka Yoshioka, Souksakhone Bounyong:
Regression-forests-based estimation of blood pressure using the pulse transit time obtained by facial photoplethysmogram. 3248-3253 - Konstantinos Eftaxias, Clive Cheong Took, Bruno Venturini, David Arscott:
Constrained LMS for dynamic flow networks. 3254-3258 - Hui Li, Dechang Pi, Yinghong Liang, Chuanming Chen, Yongzhi Liu:
Integrative computing method for the prediction of zinc-binding sites in proteins. 3259-3264 - Jackson Cunha Cassimiro, André Macedo Santana, Pedro de A. Santos Neto, Ricardo Lira Rabelo:
Investigating the effects of class imbalance in learning the claim authorization process in the Brazilian health care market. 3265-3272 - Yinghong Liang, Hongye Tan, Hui Li, Zhigang Wang, Wenming Gui:
A language-independent hybrid approach for multi-word expression extraction. 3273-3279 - R. Krishnan, S. Jagannathan, V. A. Samaranayake:
Deep learning inspired prognostics scheme for applications generating big data. 3296-3302 - Komla A. Folly, Paul K. Olulope, Ganesh K. Venayagamoorthy:
Critical clearing time prediction using recurrent neural networks. 3303-3309 - L. Vidyaratne, Mahbubul Alam, J. K. Anderson, Khan M. Iftekharuddin:
Constrained versus unconstrained learning in generalized recurrent network for image processing. 3310-3317 - Chunni Zhong, Chaomin Luo, Zhenzhong Chu, Wenyang Gan:
A continuous hopfield neural network based on dynamic step for the traveling salesman problem. 3318-3323 - Emanuele Principi, Fabio Vesperini, Stefano Squartini, Francesco Piazza:
Acoustic novelty detection with adversarial autoencoders. 3324-3330 - Irving M. Rodrigues, Eraldo R. Fernandes, Cícero Nogueira dos Santos:
Domain adaptation of POS taggers without handcrafted features. 3331-3338 - Heriberto Cuayáhuitl, Seunghak Yu, Ashley Williamson, Jacob Carse:
Scaling up deep reinforcement learning for multi-domain dialogue systems. 3339-3346 - Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. 3347-3354 - Tao Xie, Yiqiang Chen, Lisha Hu, Chenlong Gao, Chunyu Hu, Jianfei Shen:
A multistage collaborative filtering method for fall detection. 3355-3362 - Inés del Campo, M. Victoria Martínez, Flavia Orosa, Javier Echanobe, Estibaliz Asua, Koldo Basterretxea:
Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents. 3363-3370 - Abdullah M. Zyarah, Dhireesha Kudithipudi:
Extreme learning machine as a generalizable classification engine. 3371-3376 - Iroshani Jayawardene, Ganesh K. Venayagamoorthy:
Cellular computational extreme learning machine network based frequency predictions in a power system. 3377-3384 - Jade Hind, Abir Jaafar Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Casimiro Aday Curbelo Montañez, Paulo J. G. Lisboa:
A robust method for the interpretation of genomic data. 3385-3390 - Tara Eicher, Kaushik Sinha:
A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome. 3391-3398 - Ricardo de Azambuja, Frederico B. Klein, Samantha V. Adams, Martin F. Stoelen, Angelo Cangelosi:
Short-term plasticity in a liquid state machine biomimetic robot arm controller. 3399-3408 - Amirali Amirsoleimani, Majid Ahmadi, Arash Ahmadi:
STDP-based unsupervised learning of memristive spiking neural network by Morris-Lecar model. 3409-3414 - Abhinav Parihar, Nikhil Shukla, Matthew Jerry, Suman Datta, Arijit Raychowdhury:
Computational paradigms using oscillatory networks based on state-transition devices. 3415-3422 - Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim:
A randomized neural network for data streams. 3423-3430 - Aleksander Klibisz, Grant Bruer, James S. Plank, Catherine D. Schuman:
Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture. 3431-3438 - Jialing Li, Chenyuan Zhao, Kian Hamedani, Yang Yi:
Analog hardware implementation of spike-based delayed feedback reservoir computing system. 3439-3446 - Verónica Bolón-Canedo, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos:
Paving the way for providing teaching feedback in automatic evaluation of open response assignments. 3447-3453 - Tushar Ojha, Gregory L. Heileman, Manel Martínez-Ramón, Ahmad Slim:
Prediction of graduation delay based on student performance. 3454-3460 - Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley:
Convolutional gated recurrent neural network incorporating spatial features for audio tagging. 3461-3466 - Romain Sabathe, Eduardo Coutinho, Björn W. Schuller:
Deep recurrent music writer: Memory-enhanced variational autoencoder-based musical score composition and an objective measure. 3467-3474 - Bhiksha Raj, Anurag Kumar:
Audio event and scene recognition: A unified approach using strongly and weakly labeled data. 3475-3482 - Simone Scardapane, Lucas Stoffl, Florian Röhrbein, Aurelio Uncini:
On the use of deep recurrent neural networks for detecting audio spoofing attacks. 3483-3490 - Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe:
Learning from semantically dependent multi-tasks. 3498-3505 - Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang:
Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM. 3506-3513 - Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood:
Using synthetic data to train neural networks is model-based reasoning. 3514-3521 - Xinyu Wu, Vishal Saxena:
Enabling bio-plausible multi-level STDP using CMOS neurons with dendrites and bistable RRAMs. 3522-3526 - Raqibul Hasan, Tarek M. Taha, Chris Yakopcic:
On-chip training of memristor based deep neural networks. 3527-3534 - Hiram Ponce, María de Lourdes Martínez-Villaseñor:
Interpretability of artificial hydrocarbon networks for breast cancer classification. 3535-3542 - Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Scott Douglass:
Cognitive domain ontologies on the TrueNorth neurosynaptic system. 3543-3550 - Bryan P. Tripp:
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks. 3551-3560 - Pawel Andrzej Herman, Simon Benjaminsson, Anders Lansner:
Odor recognition in an attractor network model of the mammalian olfactory cortex. 3561-3568 - Xinyue Liu, Xiangnan Kong, Philip S. Yu:
Collective discovery of brain networks with unknown groups. 3569-3576 - Pramod S. Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Bapi Raju:
A biologically inspired neuronal model of reward prediction error computation. 3577-3584 - Hengyue Pan, Hui Jiang:
A fast method for saliency detection by back-propagating a convolutional neural network and clamping its partial outputs. 3585-3592 - Mandar Haldekar, Ashwinkumar Ganesan, Tim Oates:
Identifying spatial relations in images using convolutional neural networks. 3593-3600 - Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha:
Convolutional sparse coding on neurosynaptic cognitive system. 3609-3616 - Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata:
Toward abstraction from multi-modal data: Empirical studies on multiple time-scale recurrent models. 3625-3632 - Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King:
Improving recommendation accuracy using networks of substitutable and complementary products. 3649-3655 - Angshul Majumdar, Anant Jain:
Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation. 3656-3663 - Chul Sung, Chunhui Y. Higgins, Bo Zhang, Yoonsuck Choe:
Evaluating deep learning in chum prediction for everything-as-a-service in the cloud. 3664-3669 - Tong Zhao, Mandy Hu, Razieh Rahimi, Irwin King:
It's about time! Modeling customer behaviors as the secretary problem in daily deal websites. 3670-3679 - Fabio Massimo Zanzotto, Lorenzo Ferrone:
Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations. 3680-3687 - Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Julio Cezar Silveira Jacques, Meysam Madadi, Xavier Baró, Stéphane Ayache, Evelyne Viegas, Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier:
Design of an explainable machine learning challenge for video interviews. 3688-3695 - Yuan Shen, Peter Tiño, Krasimira Tsaneva-Atanasova:
Classification of sparsely and irregularly sampled time series: A learning in model space approach. 3696-3703 - Andreas C. Neocleous, Costas Neocleous, Christos N. Schizas, Michael Biehl, Nicolai Petkov:
Marker selection for the detection of trisomy 21 using generalized matrix learning vector quantization. 3704-3708 - Farnood Merrikh-Bayat, Xinjie Guo, Dmitri B. Strukov:
Exponential-weight multilayer perceptron. 3709-3715 - Taesik Na, Jong Hwan Ko, Jaeha Kung, Saibal Mukhopadhyay:
On-chip training of recurrent neural networks with limited numerical precision. 3716-3723 - Stanislaw Wozniak, Angeliki Pantazi, Yusuf Leblebici, Evangelos Eleftheriou:
Neuromorphic system with phase-change synapses for pattern learning and feature extraction. 3724-3732 - Kan Li, José C. Príncipe:
Flight dynamics modeling and recognition using finite state machine for automatic insect recognition. 3733-3740 - Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu:
Non-local information for a mixture of multiple linear classifiers. 3741-3746 - Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu:
A mixture of multiple linear classifiers with sample weight and manifold regularization. 3747-3752 - Bart Kosko:
Generalized mixture representations and combinations for additive fuzzy systems. 3761-3768 - Dennis Forster, Jörg Lücke:
Truncated variational EM for semi-supervised neural simpletrons. 3769-3776 - Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni:
Zero-shot learning with a partial set of observed attributes. 3777-3784 - Alex Fedorov, Jeremy Johnson, Eswar Damaraju, Alexei Ozerin, Vince D. Calhoun, Sergey M. Plis:
End-to-end learning of brain tissue segmentation from imperfect labeling. 3785-3792 - Masato Ishii, Atsushi Sato:
Joint optimization of feature transform and instance weighting for domain adaptation. 3793-3799 - Nicolangelo Iannella, Thomas Launey:
Synaptic efficacy mosaics and the impact of morphology. 3800-3805 - Mikhail V. Kiselev:
A synaptic plasticity rule providing a unified approach to supervised and unsupervised learning. 3806-3813 - Daksha Yadav, Naman Kohli, Shruti Nagpal, Maneet Singh, Prateekshit Pandey, Mayank Vatsa, Richa Singh, Afzel Noore, Gokulraj Prabhakaran, Harsh Mahajan:
Region-specific fMRI dictionary for decoding face verification in humans. 3814-3821 - Md. Zahangir Alom, Tarek M. Taha:
Network intrusion detection for cyber security on neuromorphic computing system. 3830-3837 - Bojan Kolosnjaji, Ghadir Eraisha, George D. Webster, Apostolis Zarras, Claudia Eckert:
Empowering convolutional networks for malware classification and analysis. 3838-3845 - Mahmood Yousefi-Azar, Vijay Varadharajan, Len Hamey, Udaya Kiran Tupakula:
Autoencoder-based feature learning for cyber security applications. 3854-3861 - Hongmei He, Tim Watson, Carsten Maple, Jörn Mehnen, Ashutosh Tiwari:
A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection. 3862-3869 - Max Vladymyrov, Miguel Á. Carreira-Perpiñán:
Fast, accurate spectral clustering using locally linear landmarks. 3870-3879 - Di Yao, Chao Zhang, Zhihua Zhu, Jian-Hui Huang, Jingping Bi:
Trajectory clustering via deep representation learning. 3880-3887 - Guiqin Yuan, Bo Li, Yiyang Yao, Simin Zhang:
A deep learning enabled subspace spectral ensemble clustering approach for web anomaly detection. 3896-3903 - Antonio Robles-Kelly, Ran Wei:
A spectral clustering approach for online and streaming applications. 3904-3911 - Nikita Agarwal, Neil Mehta, Alice C. Parker, Karam Ashouri:
C. elegans neuromorphic neural network exhibiting undulating locomotion. 3912-3921 - Md. Zahangir Alom, Brian Van Essen, Adam T. Moody, David Peter Widemann, Tarek M. Taha:
Quadratic Unconstrained Binary Optimization (QUBO) on neuromorphic computing system. 3922-3929 - Miguel Angelo de Abreu de Sousa, Emilio Del-Moral-Hernandez:
An FPGA distributed implementation model for embedded SOM with on-line learning. 3930-3937 - Rohit Shukla, Erik Jorgensen, Mikko H. Lipasti:
Evaluating hopfield-network-based linear solvers for hardware constrained neural substrates. 3938-3945 - Pezhman Mamdouh, Alice C. Parker:
A power-efficient biomimetic intra-branch dendritic adder. 3946-3952 - B. Keshavarz Hedayati, Nikitas J. Dimopoulos:
Sensitivity and similarity regularization in dynamic selection of ensembles of neural networks. 3953-3958 - Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. 3959-3966 - Antonino Feitosa Neto, Anne M. P. Canuto, João C. Xavier, Cephas A. Barreto:
A multi-agent metaheuristic hybridization to the automatic design of ensemble systems. 3967-3974 - Valerio Grossi, Alessandro Sperduti:
A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction. 3975-3982 - Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford:
A streaming ensemble classifier with multi-class imbalance learning for activity recognition. 3983-3990 - Ajin George Joseph, Shalabh Bhatnagar:
Bounds for off-policy prediction in reinforcement learning. 3991-3997 - Minwoo Lee, Charles W. Anderson:
Can a reinforcement learning agent practice before it starts learning? 4006-4013 - Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang:
A sandpile model for reliable actor-critic reinforcement learning. 4014-4021 - N. Vignesh, S. Jagannathan:
Online reinforcement with exploration for distributed control. 4022-4027 - David Vengerov:
Dynamic adaptation of user migration policies in distributed virtual environments. 4028-4035 - Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Lourdes Miro-Amarante, Francisco Gomez-Rodriguez, M. Domínguez-Morales, Manuel Rivas Pérez, Angel Jiménez-Fernandez, Alejandro Linares-Barranco:
Semi-wildlife gait patterns classification using statistical methods and Artificial Neural Networks. 4036-4043 - Xiang Jiang, Xuan Liu, Erico N. de Souza, Baifan Hu, Daniel L. Silver, Stan Matwin:
Improving point-based AIS trajectory classification with partition-wise gated recurrent units. 4044-4051 - Jiqian Li, Yan Wu, Junqiao Zhao, Linting Guan, Chen Ye, Tao Yang:
Pedestrian detection with dilated convolution, region proposal network and boosted decision trees. 4052-4057 - Zhiqiang Wan, Xuemin Hu, Haibo He, Yi Guo:
A learning based approach for social force model parameter estimation. 4058-4064 - Diego Guarnieri Correa, Fabrício Enembreck, Carlos N. Silla:
An investigation of the hoeffding adaptive tree for the problem of network intrusion detection. 4065-4072 - Kristina Vassiljeva, Aleksei Tepljakov, Eduard Petlenkov, Eduard Netsajev:
Computational intelligence approach for estimation of vehicle insurance risk level. 4073-4078 - Thee Chanyaswad, J. Morris Chang, Sun-Yuan Kung:
A compressive multi-kernel method for privacy-preserving machine learning. 4079-4086 - Tatiana Tambouratzis, Nikos Hatziefthimiou:
How systematic is the environmental sustainability index 2002 as a tool for grouping countries in terms of their environmental sustainability? 4087-4094 - Stjepan Picek, Annelie Heuser, Alan Jovic, Simone A. Ludwig, Sylvain Guilley, Domagoj Jakobovic, Nele Mentens:
Side-channel analysis and machine learning: A practical perspective. 4095-4102 - Parisa Rastin, Basarab Matei, Guénaël Cabanes, Ibtissame El Baghdadi:
Signal-based autonomous clustering for relational data. 4103-4110 - Antoine Lachaud, Nistor Grozavu, Basarab Matei, Younès Bennani:
Collaborative clustering between different topological partitions. 4111-4117 - Bruno Magalhães Nogueira, Yuri Karan Benevides Tomas, Ricardo Marcondes Marcacini:
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering. 4118-4125 - Jérémie Sublime, Basarab Matei, Pierre-Alexandre Murena:
Analysis of the influence of diversity in collaborative and multi-view clustering. 4126-4133 - Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie:
Improving load forecasting based on deep learning and K-shape clustering. 4134-4141 - Brian Delhaisse, Domingo Esteban, Leonel Dario Rozo, Darwin G. Caldwell:
Transfer learning of shared latent spaces between robots with similar kinematic structure. 4142-4149 - Lakshitha P. Wijesinghe, Marco Antonelli, Jochen Triesch, Bertram E. Shi:
Learning multisensory neural controllers for robot arm tracking. 4150-4157 - Arup Kumar Sadhu, Amit Konar, Bonny Banerjee, Atulya K. Nagar:
Multi-robot cooperative planning by consensus Q-learning. 4158-4164 - Long Jin, Shuai Li, Xin Luo, Mingsheng Shang:
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms. 4165-4170 - Chelsea Sabo, Esin Yavuz, Alex Cope, Kevin Gumey, Eleni Vasilaki, Thomas Nowotny, James A. R. Marshall:
An inexpensive flying robot design for embodied robotics research. 4171-4178 - Mingli Zhang, Christian Desrosiers:
Image completion with global structure and weighted nuclear norm regularization. 4187-4193 - Mingze Li, Hasitieer Haerken, Ping Guo, Fuqing Duan, Qian Yin, Xin Zheng:
Two-dimensional spectral image calibration based on feed-forward neural network. 4194-4201 - Javier Echanobe, Inés del Campo, M. Victoria Martínez, Koldo Basterretxea:
Genetic algorithm-based optimization of ELM for on-line hyperspectral image classification. 4202-4207 - Paul Bustios, Joao Luis Rosa:
Restricted exhaustive search for frequency band selection in motor imagery classification. 4208-4213 - Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
Batch reinforcement learning on the industrial benchmark: First experiences. 4214-4221 - Oscar Silva, Pascal Sigel, María-José Escobar:
Time delays in a HyperNEAT network to improve gait learning for legged robots. 4222-4228 - Lu Dong, Jun Li, Wankou Yang, Changyin Sun:
Robust optimal control for time-delay systems with dynamic uncertainties via ADP. 4229-4235 - Ivan Salgado, Manuel Mera, Isaac Chairez:
Active disturbance rejection control based on differential neural networks. 4236-4243 - Steve Piche, Jason Grimm:
Gain confidence of a neural network used for model based control. 4244-4251 - Md. Ashfaqur Rahman, Yawei Wei, Ganesh Kumar Venayagamoorthy:
Cellular computational generalized neuron network with cooperative PSO for power systems. 4252-4258 - Zheng Wang, Irena Koprinska, Mashud Rana:
Solar power prediction using weather type pair patterns. 4259-4266 - The-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson:
Local short term electricity load forecasting: Automatic approaches. 4267-4274 - Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen:
Temporal overdrive recurrent neural network. 4275-4282 - Rodrigo Ferreira Berriel, Andre Teixeira Lopes, Alexandre Rodrigues, Flávio Miguel Varejão, Thiago Oliveira-Santos:
Monthly energy consumption forecast: A deep learning approach. 4283-4290 - Gustavo G. Colombini, Iuri Bonna M. de Abreu, Ricardo Cerri:
A self-organizing map-based method for multi-label classification. 4291-4298 - Jan Lachmair, Thomas Mieth, René Griessl, Jens Hagemeyer, Mario Porrmann:
From CPU to FPGA - Acceleration of self-organizing maps for data mining. 4299-4308 - Xiaoyu Wang, Osamu Hasegawa:
Adaptive density estimation based on self-organizing incremental neural network using Gaussian process. 4309-4315 - Ranik Guidolini, Alberto F. De Souza, Filipe Wall Mutz, Claudine Badue:
Neural-based model predictive control for tackling steering delays of autonomous cars. 4324-4331 - Filipe Wall Mutz, Vinicius Cardoso, Thomas Teixeira, Luan F. R. Jesus, Michael André Golçalves, Ranik Guidolini, Josias Oliveira, Claudine Badue, Alberto Ferreira de Souza:
Following the leader using a tracking system based on pre-trained deep neural networks. 4332-4339 - Vegard Edvardsen:
Long-range navigation by path integration and decoding of grid cells in a neural network. 4348-4355 - Pengda Qin, Weiran Xu, Jun Guo:
Designing an adaptive attention mechanism for relation classification. 4356-4362 - Bonggun Shin, Falgun H. Chokshi, Timothy Lee, Jinho D. Choi:
Classification of radiology reports using neural attention models. 4363-4370 - Soheil Keshmiri, Hidenobu Sumioka, Junya Nakanishi, Hiroshi Ishiguro:
Emotional state estimation using a modified gradient-based neural architecture with weighted estimates. 4371-4378 - Mansoureh Fahimi Hnazaee, Marc M. Van Hulle:
Typicality effect on N400 ERP in categories despite differences in semantic processing. 4379-4386 - Takashi Nakamura, Tricia Adjei, Yousef Alqurashi, David Looney, Mary J. Morrell, Danilo P. Mandic:
Complexity science for sleep stage classification from EEG. 4387-4394 - Sou Nobukawa, Teruya Yamanishi, Haruhiko Nishimura, Yuji Wada, Mitsuru Kikuchi, Tetsuya Takahashi:
Temporal-specific roles of fractality in EEG signal of Alzheimer's disease. 4395-4399 - Angshul Majumdar, Rabab Kreidieh Ward:
Robust greedy deep dictionary learning for ECG arrhythmia classification. 4400-4407 - Trung Duy Pham, Dat Tran, Wanli Ma:
An intelligent learning-based watermarking scheme for outsourced biomedical time series data. 4408-4415 - Daniel Morris, Andreas Antoniades, Clive Cheong Took:
On making sense of neural networks in road analysis. 4416-4421 - Bisser Raytchev, M. Koujiba, Toru Tamaki, Kazufumi Kaneda:
Grassmann matching kernels for scene representation and recognition. 4422-4428 - Balázs Nagy, Csaba Benedek:
3D CNN based phantom object removing from mobile laser scanning data. 4429-4435 - Touqeer Ahmad, Pavel Campr, Martin Cadík, George Bebis:
Comparison of semantic segmentation approaches for horizon/sky line detection. 4436-4443 - Jason M. Allred, Kaushik Roy:
Convolving over time via recurrent connections for sequential weight sharing in neural networks. 4444-4450 - Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Compressing recurrent neural network with tensor train. 4451-4458 - Stefan Oehmcke, Oliver Zielinski, Oliver Kramer:
Recurrent neural networks and exponential PAA for virtual marine sensors. 4459-4466 - Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry:
Structural adaptation for sparsely connected MLP using Newton's method. 4467-4473 - Calin-Adrian Popa:
Global asymptotic stability for matrix-valued recurrent neural networks with time delays. 4474-4481 - Ryuji Sato, Shunsuke Aoki, Toshimichi Saito:
Connection sparsity versus orbit stability in dynamic binary neural networks. 4482-4487 - Ryota Araki, Hiroyuki Torikai, Takuya Yoshimoto:
A novel gene network model based on nonlinear dynamics of asynchronous cellular automaton. 4488-4495 - J. L. Garcia-Lopez, Ivan Salgado, Isaac Chairez:
Two-layer dynamic neural field learning law basec on controlled Lyapunov functions. 4496-4503 - Nataliya Sokolovska, Yann Chevaleyre, Karine Clément, Jean-Daniel Zucker:
The fused lasso penalty for learning interpretable medical scoring systems. 4504-4511 - Ali Braytee, Wei Liu, Paul J. Kennedy:
Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data. 4512-4519 - Beatriz Remeseiro, Ana Maria Mendonça, Aurélio J. C. Campilho:
Objective quality assessment of retinal images based on texture features. 4520-4527 - Vitoantonio Bevilacqua, Marco Riezzo, Antonio Brunetti, Francesco Russo, Benedetta D'Attoma, Giuseppe Riezzo:
Analysis and optimization of the 13C octanoic acid breath test. 4528-4533 - Shems Bertegi, Kirmene Marzouki:
Microcalcification detection using Self Organizing Neuro Glia Network classifier. 4534-4540 - Prabhash Kumarasinghe, Sundaram Suresh, Vigneshwaran Subbaraju:
MiPAL: Multiple-instance passive aggressive learning for identification of attention deficit hyperactive disorder from fMRI. 4541-4548 - Vasiliki-Maria Katsageorgiou, Matteo Zanotto, Valter Tucci, Vittorio Murino, Diego Sona:
Data-driven study of mouse sleep-stages using Restricted Boltzmann Machines. 4549-4556 - Abhronil Sengupta, Aayush Ankit, Kaushik Roy:
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). 4557-4563 - Shruti Naik, Oota Subbareddy, Arpan Banerjee, Dipanjan Roy, Raju S. Bapi:
Metastability of cortical BOLD signals in maturation and senescence. 4564-4570 - Xingquan Zhu, Jose Hurtado, Haicheng Tao:
Localized sampling for hospital re-admission prediction with imbalanced sample distributions. 4571-4578 - Eva Tuba, Milan Tuba, Raka Jovanovic:
An algorithm for automated segmentation for bleeding detection in endoscopic images. 4579-4586 - Luis A. Souto Maior Neto, Robson Pequeno, Carlos de Almeida, Katia Galdino, Fabricia Martins, Antonio V. de Moura:
A method for intelligent support to medical diagnosis in emergency cardiac care. 4587-4593 - Christopher Baechle, Ankur Agarwal, Ravi S. Behara, Xingquan Zhu:
Latent topic ensemble learning for hospital readmission cost reduction. 4594-4601 - Heng Liu, Gregory Ditzler:
A fast information-theoretic approximation of joint mutual information feature selection. 4610-4617 - Jeff Heaton, Steven McElwee, James B. Fraley, James Cannady:
Early stabilizing feature importance for TensorFlow deep neural networks. 4618-4624 - Mostafa Parchami, Saman Bashbaghi, Eric Granger:
Video-based face recognition using ensemble of haar-like deep convolutional neural networks. 4625-4632 - Kurtis D. Cantley, Robert C. Ivans, Anand Subramaniam, Eric M. Vogel:
Spatio-temporal pattern recognition in neural circuits with memory-transistor-driven memristive synapses. 4633-4640 - Jérémie Cabessa, Paolo Masulli:
Emulation of finite state automata with networks of synfire rings. 4641-4648 - A. Shukla, V. Kumar, U. Ganguly:
A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning. 4657-4664
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last updated on 2018-03-14 21:36 CET by the dblp team